This module guides learners through the process of capturing user requirements and translating them into formal Entity-Relationship (ER) models for effective database design. Learners will explore advanced ER concepts, practice drawing ER diagrams, and apply normalization techniques to simplify complex data relationships.

This module introduces the origins and evolution of SQL as the standard language for relational database management systems. Learners will compare major SQL implementations, including Microsoft Access and SQL Server, and understand the impact of standardization on database development. Practical considerations for using different SQL-based systems are also discussed.

This module explores the foundational relationship between SQL and the relational database model, highlighting key theoretical concepts such as functional dependencies, views, and catalogs. Learners will gain an understanding of how these elements shape database structure and management in real-world applications.

This module introduces the foundational components of SQL, including how to define database structures, manipulate data, and manage security. Learners will gain practical skills in creating and modifying tables, handling data operations, and implementing access controls to protect information.

This module delves into the foundational elements of SQL, including syntax, data types, and constraints essential for robust database design. Learners will explore how to correctly use reserved words, manage various data types such as numerics, strings, datetimes, and XML, and enforce data integrity through constraints and foreign keys. By the end, you'll be equipped to structure and safeguard data effectively in SQL-based systems.

This module introduces the foundational concepts of database systems, focusing on the key components and the structured phases of the System Development Life Cycle (SDLC). Learners will gain insight into requirements gathering, evaluation, design, and implementation processes essential for building reliable and effective database applications.

This module guides learners through the process of engaging stakeholders, building consensus, and designing robust relational database models. You will explore the importance of keys, standards, and normalization techniques to prevent data anomalies and ensure data integrity. By the end, you'll understand how to create database systems that effectively meet diverse organizational needs.

This module examines the trade-offs between optimizing database performance and ensuring data correctness. Learners will explore normalization, integrity constraints, relationship modeling, and indexing strategies to achieve efficient and reliable database systems. Practical techniques for tuning queries and interpreting execution plans are also covered.

This module introduces the foundational concepts of SQL Data Definition Language (DDL), focusing on how to create and manage database structures. Learners will explore the use of keys, constraints, and indexes to organize tables efficiently and ensure data integrity. Practical skills in writing SQL statements for table creation are emphasized.